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Aspects of stability in multiobjective integer linear programming problem with objective partitioning




AuthorsNikulin Yury, Emelichev Vladimir

EditorsA. Hakanen | V. Halava | P. Herva | J. Kari |
T. Laihonen | I. Petre | A. Saarela (Eds).

Conference nameRussian-Finnish Symposium on Discrete Mathematics

PublisherTurku Centre for Computer Science

Publishing placeTurku

Publication year2021

Book title Proceedings of the Sixth Russian-Finnish Symposium on Discrete Mathematics

Series titleTUCS Lecture Notes

Number in series31

First page 107

Last page117

ISBN978-952-12-4113-0

ISSN1797-8831

Web address http://urn.fi/URN:ISBN:978-952-12-4113-0


Abstract

In a multiobjective problem of integer linear programming, parametrization of optimality principle is introduced by dividing a set of objectives into a family of disjoint subsets. The introduction of this principle makes it possible to connect two classical optimality sets, namely, extreme and Pareto. The admissible independent perturbations in such a problem are formed by a set of additive matrices, with arbitrary H¨older’s norms specified in the solution and criterion spaces. The lower and upper bounds for the radius of stability are obtained. The main result is complemented with several important corollaries.



Keywords:
integer linear programmingInteger programmingMultiobjective optimizationstability analysis



Last updated on 26/11/2024 03:20:07 PM